SIAM Journal on Matrix Analysis and Applications
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
A Weakly Coupled Adaptive Gossip Protocol for Application Level Active Networks
POLICY '02 Proceedings of the 3rd International Workshop on Policies for Distributed Systems and Networks (POLICY'02)
Timing-sync protocol for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
The flooding time synchronization protocol
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Fine-grained network time synchronization using reference broadcasts
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Localization in Time and Space for Sensor Networks
AINA '07 Proceedings of the 21st International Conference on Advanced Networking and Applications
Towards a unified view on space and time in sensor networks
Computer Communications
Gossip-based clock synchronization for large decentralized systems
SelfMan'06 Proceedings of the Second IEEE international conference on Self-Managed Networks, Systems, and Services
IEEE Transactions on Signal Processing
An efficient closed-form solution for joint synchronization and localization using TOA
Future Generation Computer Systems
Energy-efficient data dissemination using beamforming in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
| Hi-index | 35.68 |
Time synchronization and localization are two important issues in wireless sensor networks. Although these two problems share many aspects in common, they are traditionally treated separately. In this paper, we present a unified framework to jointly solve time synchronization and localization problems at the same time. Furthermore, since the accuracy of synchronization and localization is very sensitive to the accuracy of anchor timings and locations, the joint time synchronization and localization problem with inaccurate anchors is also considered in this paper. For the case with accurate anchors, the joint maximum likelihood estimator and a more computationally efficient least squares (LS) estimator are proposed. When the anchor timings and locations are inaccurate, a generalized total least squares (GTLS) scheme is proposed. Cramér-Rao lower bounds (CRLBs) and the analytical mean square error (MSE) expressions of the LS based estimators are derived for both accurate and inaccurate anchor cases. Results show that the proposed joint estimators exhibit performances close to their respective CRLBs and outperform the separate time synchronization and localization approach. Furthermore, the derived analytical MSE expressions predict the performances of the proposed joint estimators very well.